A Validation of Object-Oriented Design Metrics as Quality Indicators
IEEE Transactions on Software Engineering
The Confounding Effect of Class Size on the Validity of Object-Oriented Metrics
IEEE Transactions on Software Engineering
Modeling Development Effort in Object-Oriented Systems Using Design Properties
IEEE Transactions on Software Engineering - Special section on the seventh international software metrics symposium
A Hierarchical Model for Object-Oriented Design Quality Assessment
IEEE Transactions on Software Engineering
A Metrics Suite for Object Oriented Design
IEEE Transactions on Software Engineering
Evaluating the Impact of Object-Oriented Design on Software Quality
METRICS '96 Proceedings of the 3rd International Symposium on Software Metrics: From Measurement to Empirical Results
Quality assessment of knowledge-based software: some certification considerations
ISESS '97 Proceedings of the 3rd International Software Engineering Standards Symposium (ISESS '97)
Predicting Class Testability using Object-Oriented Metrics
SCAM '04 Proceedings of the Source Code Analysis and Manipulation, Fourth IEEE International Workshop
A quantitative analysis of the robustness of knowledge-based systems through degradation studies
Knowledge and Information Systems
Statics and dynamics of cognitive and qualitative matchmaking in task fulfillment
Information Sciences: an International Journal
An MDA approach to knowledge engineering
Expert Systems with Applications: An International Journal
| Hi-index | 12.05 |
In this paper, the quality metrics suite for object oriented (OO) design is partially used as an initial concept to develop metrics for statically measuring quality of KADS-domain knowledge bases. KADS-domain knowledge bases have common characteristics with OO, and other distinct features that limit the usage of some OO quality metrics. Therefore, new sets of domain knowledge quality metrics are proposed. The proposed matrices are enriched with an automatic tool used to measure quality of real world expert systems. In order to assess the effectiveness of these proposed quality metrics, these metrics were applied on a sample of real world agriculture application domains developed by CLAES (The Central Laboratory of Agriculture Expert System). Finally, complete analysis of the results obtained due to applying these metrics is presented.